LNG multi-point transport ship transport-capacity prediction scheduling method

A scheduling method and transport ship technology, applied in the direction of electrical program control, comprehensive factory control, etc., can solve problems such as poor foresight, delay in decision-making, economic loss, dedicated transport capacity of transport ships, etc., and achieve the effect of strong accuracy

CN103645705AActive Publication Date: 2014-03-19CHINA NAT OFFSHORE OIL CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2014-03-19

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Abstract

The invention relates to an LNG multi-point transport ship transport-capacity prediction scheduling method. A LNG multi-point transport ship transport-capacity prediction scheduling system is arranged in a networked structure formed by a plurality of long-term product supply points and a plurality of receiving stations; the system includes DCSs arranged in all the receiving stations and GMS terminals arranged in all the receiving stations, and an LNG multi-point transport ship transport-capacity scheduling simulation system platform arranged in any receiving station; and a discrete simulation deduction program integrating a Monte Carlo algorithm and an operational research queuing theory is arranged in a simulation module of the simulation system platform. According to the invention, various information of all receiving stations are obtained automatically by all DCSs; and according to a transport ship arrival time window and transport ship transport-capacity distribution scheme that is obtained by simulated deduction by the simulation system platform, all the GMS terminals generate transport ship transport-capacity scheduling plans of all the receiving stations, so that the accuracy and the practical operation are high. The provided method can be widely applied to a multi-transport ship transport-capacity prediction scheduling process in various networked systems with multiple long-term product supply points and multiple receiving stations.
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Description

technical field

[0001] The present invention relates to a method for forecasting and dispatching LNG (liquefied natural gas) transport capacity, in particular to an LNG multi-point transport ship coordinated and optimized between multiple LNG long-term supply points (i.e. liquefaction plants) and multiple LNG receiving stations Capacity Forecasting and Scheduling Method. Background technique

[0002] In the LNG industry chain, the basic function of the LNG receiving station is to unload the LNG carrier from the long-term supply point via the ocean, store the LNG material in the LNG storage tank after unloading, and transfer the LNG according to the downstream gas demand. After gasification, it is exported to three types of gaseous users: industrial, civil and gas-fired power plants. At the same time, a small part of LNG is directly transported out in liquid form through LNG tankers. The core of the receiving station's ADP (annual delivery plan) process for long-term supply ...

Examples

Embodiment Construction

[0012] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0013] Such as figure 1 , figure 2 Shown, the inventive method comprises the following steps:

[0014] 1) Set up an LNG multi-point carrier capacity forecasting and dispatching system

[0015] In a network structure composed of multiple long-term supply points and multiple receiving stations, an LNG multi-point transport capacity forecasting and dispatching system is set up, which includes DCS1 respectively arranged in each receiving station, and a DCS1 arranged in any receiving station. The simulation system platform 2 of LNG multi-point transport capacity dispatching and the GMS terminal 3 respectively arranged in each receiving station, the simulation system platform 2 is provided with an initial parameter database 21, a simulation module 22, an index and report display module 23 and an analysis database twenty four. Wherein, DCS1 and GMS term...